Abstract
Photoswitchable (PSW) molecules offer an attractive opportunity for the optical control of biological processes. However, the successful design of such compounds remains a challenging multioptimization endeavor, resulting in several biological target classes still relatively poorly explored by photoswitchable ligands, as is the case for G protein-coupled receptors (GPCRs). Here, we present the PSW-Designer, a fully open-source computational platform, implemented in the KNIME Analytics Platform, to design and virtually screen novel photoswitchable ligands for photopharmacological applications based on privileged scaffolds. We demonstrate the applicability of the PSW-Designer to GPCRs and assess its predictive capabilities via two retrospective case studies. Furthermore, by leveraging bioactivity information on known ligands, typical and atypical strategies for photoswitchable group incorporation, and the increasingly structural information available for biological targets, the PSW-Design will facilitate the design of novel photoswitchable molecules with improved photopharmacological properties and increased binding affinity shifts upon illumination for GPCRs and many other protein targets.
Original language | English |
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Pages (from-to) | 6696–6705 |
Number of pages | 10 |
Journal | Journal of chemical information and modeling |
Volume | 63 |
Issue number | 21 |
Early online date | 13 Oct 2023 |
DOIs | |
Publication status | Published - 13 Nov 2023 |
Bibliographical note
Publisher Copyright:© 2023 The Authors. Published by American Chemical Society.
Funding
We thank Tom Dekker for valuable discussions on KNIME implementations and Bas de Boer for his input on the manuscript graphics. This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under Grant Agreement No. 875510 (EUbOPEN). The JU receives support from the European Union’s Horizon 2020 research and innovation program and EFPIA and Ontario Institute for Cancer Research, Royal Institution for the Advancement of Learning McGill University, Kungliga Tekniska Hoegskolan, Diamond Light Source Limited. We acknowledge The Netherlands Organization for Scientific Research (NWO) for financial support through the TOPPUNT (718.014.002) and NWO XS (OCENW.XS4.267) grant schemes.
Funders | Funder number |
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Royal Institution | |
Horizon 2020 Framework Programme | |
Diamond Light Source | |
Ontario Institute for Cancer Research | |
European Federation of Pharmaceutical Industries and Associations | |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek | OCENW.XS4.267, 718.014.002 |
Kungliga Tekniska Högskolan | |
Innovative Medicines Initiative | 875510 |